Steel Plates Faults
Donated on 10/25/2010
A dataset of steel plates’ faults, classified into 7 different types. The goal was to train machine learning for automatic pattern recognition.
Dataset Characteristics
Multivariate
Subject Area
Physics and Chemistry
Associated Tasks
Classification
Feature Type
Integer, Real
# Instances
1941
# Features
27
Dataset Information
Additional Information
Type of dependent variables (7 Types of Steel Plates Faults): 1.Pastry 2.Z_Scratch 3.K_Scatch 4.Stains 5.Dirtiness 6.Bumps 7.Other_Faults
Has Missing Values?
No
Variables Table
| Variable Name | Role | Type | Description | Units | Missing Values |
|---|---|---|---|---|---|
| X_Minimum | Feature | Integer | no | ||
| X_Maximum | Feature | Integer | no | ||
| Y_Minimum | Feature | Integer | no | ||
| Y_Maximum | Feature | Integer | no | ||
| Pixels_Areas | Feature | Integer | no | ||
| X_Perimeter | Feature | Integer | no | ||
| Y_Perimeter | Feature | Integer | no | ||
| Sum_of_Luminosity | Feature | Integer | no | ||
| Maximum_of_Luminosity | Feature | Integer | no | ||
| Length_of_Conveyer | Feature | Integer | no |
0 to 10 of 34
Additional Variable Information
27 independent variables: X_Minimum X_Maximum Y_Minimum Y_Maximum Pixels_Areas X_Perimeter Y_Perimeter Sum_of_Luminosity Minimum_of_Luminosity Maximum_of_Luminosity Length_of_Conveyer TypeOfSteel_A300 TypeOfSteel_A400 Steel_Plate_Thickness Edges_Index Empty_Index Square_Index Outside_X_Index Edges_X_Index Edges_Y_Index Outside_Global_Index LogOfAreas Log_X_Index Log_Y_Index Orientation_Index Luminosity_Index SigmoidOfAreas
Dataset Files
| File | Size |
|---|---|
| Faults.NNA | 292.5 KB |
| Faults27x7_var | 497 Bytes |
Reviews
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pip install ucimlrepo
from ucimlrepo import fetch_ucirepo # fetch dataset steel_plates_faults = fetch_ucirepo(id=198) # data (as pandas dataframes) X = steel_plates_faults.data.features y = steel_plates_faults.data.targets # metadata print(steel_plates_faults.metadata) # variable information print(steel_plates_faults.variables)
Buscema, M., Terzi, S., & Tastle, W. (2010). Steel Plates Faults [Dataset]. UCI Machine Learning Repository. https://doi.org/10.24432/C5J88N.
Creators
M Buscema
S Terzi
W Tastle
DOI
License
This dataset is licensed under a Creative Commons Attribution 4.0 International (CC BY 4.0) license.
This allows for the sharing and adaptation of the datasets for any purpose, provided that the appropriate credit is given.